One of the key challenges of anesthesia is assessing the state of consciousness or depth of anesthesia of the person through the process of surgery. …
EEG and Depth of Anesthesia
Lab Talk
Foundations of Intelligence
What is intelligence? Here are several foundational concepts that help define the descriptive rules of intelligence, not just of the human mind, but in any…
Making Sense of Granger Causality in EEG
Granger causality is an estimation of causality in time series that depends on linear methods. Does it have relevance to the nonlinear, non-stationary EEG signal…
The Perils of EEG Preprocessing
Often artifact removal means throwing out a lot of valuable signal. Is it worthwhile to throw the baby out with the bathwater? The EEG signal…
The Adaptive Traverse: How Knowledge Moves from DNA to Behavior
Here I discuss the concept of an adaptive traverses and how this might explain the link between genes and behavior. Your DNA knows things. It…
Seizure Prediction Performance of Linear and Nonlinear Features
Many features of the EEG have been used to predict seizures. Here we explore their performance showing that linear features perform as well as non…
Coronavirus and the Brain
Coronaviruses can be ‘neuroinvasive’ and have impacts on the brain from inflammation to demyelination With the psyche of the entire world consumed by Coronavirus, as…
Raising Robots in AI-Kindergarten
How insights from the way the brain learns can be used to design adaptive learning mechanisms for AI that include both phylogenetic and ontogenetic aspects….
The Challenge of Seizure Prediction
Despite a large number of papers and competitions, accurate detection of seizures remains elusive. Here are some of the key challenges. According to the World…
Challenges of Methodological Variability in EEG
Methodological variability is a challenge in the EEG field at various levels. This video provides a view of these challenges in four major areas along…